Steven J. Mead
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Developmental and Educational Psychology top 10%
- Topics
- Artificial Intelligence in Games (23 papers)Human Motion and Animation (21 papers)Video Analysis and Summarization (9 papers)
- Partner nations
- United KingdomSwedenBelgium
In The Last Decade
Steven J. Mead
26 papers receiving 441 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 356
- Sociology and Political Science 164
- Computer Vision and Pattern Recognition 155
- Control and Systems Engineering 152
- Developmental and Educational Psychology 66
Countries citing papers authored by Steven J. Mead
This map shows the geographic impact of Steven J. Mead's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven J. Mead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Mead more than expected).
Fields of papers citing papers by Steven J. Mead
This network shows the impact of papers produced by Steven J. Mead. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven J. Mead. The network helps show where Steven J. Mead may publish in the future.
Co-authorship network of co-authors of Steven J. Mead
This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Mead. A scholar is included among the top collaborators of Steven J. Mead based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven J. Mead. Steven J. Mead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Narrative Representations and Causality in Character-Based Interactive Storytelling | 0 |
| 2 | Developing re-usable interactive storytelling technologies. | 4 |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | Generation of humorous situations in cartoons through plan-based formalisations | 3 |
| 7 | Search-based planning for character animation | 1 |
| 8 | Sex, lies, and video games: an interactive storytelling prototype | 10 |
| 9 | Generating Dynamic Storylines Through Characters Interactions | 2 |
| 10 | 89 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | Under the influence:: Using natural language in interactive storytelling | 1 |
| 15 | 2 | |
| 16 | Real-time camera control for interactive storytelling | 11 |
| 17 | 3 | |
| 18 | 40 | |
| 19 | 9 | |
| 20 | 4 |
About Steven J. Mead
Steven J. Mead is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 490 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (23 papers), Human Motion and Animation (21 papers) and Video Analysis and Summarization (9 papers). The work is most often cited by research in Human-Computer Interaction (62 citations), Artificial Intelligence (356 citations) and Computer Vision and Pattern Recognition (155 citations). Steven J. Mead has collaborated with scholars based in United Kingdom, Sweden and Belgium. Frequent co-authors include Marc Cavazza, Fred Charles, Miguel Lozano, Olivier Martin, Xavier Marichal and Jean-Luc Lugrin. Their work appears in journals such as The Journal of Positive Psychology, IEEE Intelligent Systems and IEEE Multimedia.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.